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Steven Bohez

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors

Mar 31, 2022
Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess

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* 30 pages, 9 figures, 8 tables, 14 videos at https://bit.ly/robot-npmp , submitted to Science Robotics

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Learning Coordinated Terrain-Adaptive Locomotion by Imitating a Centroidal Dynamics Planner

Oct 30, 2021
Philemon Brakel, Steven Bohez, Leonard Hasenclever, Nicolas Heess, Konstantinos Bousmalis

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* A shorter version without appendix was submitted to ICRA 2022

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dm_control: Software and Tasks for Continuous Control

Jun 22, 2020
Yuval Tassa, Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy Lillicrap, Nicolas Heess

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* arXiv admin note: text overlap with arXiv:1801.00690

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Transfer Learning with Binary Neural Networks

Nov 29, 2017
Sam Leroux, Steven Bohez, Tim Verbelen, Bert Vankeirsbilck, Pieter Simoens, Bart Dhoedt

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* Machine Learning on the Phone and other Consumer Devices, NIPS2017 Workshop

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Decoupled Learning of Environment Characteristics for Safe Exploration

Aug 09, 2017
Pieter Van Molle, Tim Verbelen, Steven Bohez, Sam Leroux, Pieter Simoens, Bart Dhoedt

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* 4 pages, 4 figures, ICML 2017 workshop on Reliable Machine Learning in the Wild

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